R Language Quiz

The post is about R Programming MCQs Quiz with Answers. The quiz covers, MCQs about Rstudio, Data Analysis in R, and Some Basics of R Programming Languages. Let us start with the R Programming MCQs Quiz.

Online R Programming MCQs Quiz

• Programming involves ___________ a computer to perform an action or set of actions.
• What are the benefits of using a programming language to work with your data?
• The R programming language can be used for which of the following tasks?
• What type of software application is RStudio?
• RStudio includes which of the following panes?
• If you write code directly in the R source editor, RStudio can save your code when you close your current session.
• What tool gives data analysts the highest level of control over their data analysis?
• A data analyst is searching for a tool that will allow them to communicate instructions that a computer can run. What tool should they use?
• What are the benefits of using a programming language for data analysis?
• Many data analysts prefer to use a programming language for which of the following reasons?
• A data analyst wants to use a programming language that they can modify. What type of programming language should they use?
• A data analyst is searching for an open-source tool that will allow them to reproduce every step of their analysis, including data cleaning and transformations, calculations, and visualizations. What tool is the best option?
• When using RStudio, what is the installed.packages() function do?
• In data analytics, what is CRAN?
• Why do analysts use comments In R programming?
• An analyst includes the following calculation in their R programming: midyear_sales <- (quarter_1_sales + quarter_2_sales) – overhead_costsWhich variable will the total from this calculation be assigned to?
• Which of the following are the benefits of open-source code?
• A data analyst needs to quickly create a series of scatterplots to visualize a large dataset. What should they use for the analysis?
• A data analyst wants to write R code that they can access again after they close their current session in RStudio. Where should they write their code?
• A data analyst is working with spreadsheet data. The analyst imports the data from the spreadsheet into RStudio. Where in RStudio can the analyst find the imported data?

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Online MCQs Website Quiz with Answers

The post is about Sampling in R Language. There are 20 multiple-choice questions from the sampling, ggplot2 package, and R language basics too. Let us start with the Quiz sampling in R Language.

Please go to Sampling in R Language: Important MCQs 10 to view the test

The dplyr package is used for data manipulation and transformation. It gives a set of functions that make it easy to perform common data manipulation tasks, which include (1) filtering, (2) grouping, (3) summarizing, (4) arranging, and (5) joining data frames.

The package is part of the tidyverse, a collection of R packages designed to work together seamlessly for data analysis and visualization.

Some key functions available in dplyr R Package include:

• filter(): Used to subset rows based on specified conditions.
• select(): Used to choose specific columns from a data frame.
• arrange(): Used to reorder rows based on one or more columns.
• mutate(): Used to create new columns or modify existing ones.
• group_by(): Used to group data by one or more variables.
• summarize(): Used to compute summary statistics for groups of data.
• join(): Used to merge data frames based on common keys.

The dplyr package provides a powerful and efficient toolkit for data manipulation in R.

Quiz Sampling in R Language

• What is the class of the object defined by the expression x <- c(4, “a”, TRUE)?
• Suppose, I have a vector x <- c(3, 6, 1, 19, 12, 8)and I want to set all elements of this vector that are less than 6 to be equal to zero. What R code achieves this?
• We obtain the 10000 random sample of size 6 under SRSWOR using the following population (111, 158, 122, 193, 111, 148, 112, 128, 113, 151, 185, 200, 199, 121, 115, 114) which is the R command for repeating this procedure 150 times?
• Which is the R command for selecting a sample of size 6 from the population yp <- c(111, 159, 121, 198, 120, 136, 14, 129, 17, 115, 186, 119, 121, 153, 143)
• For the following population y<- c(1,2,3,4,5), what will be the R command for finding variance?
• For the following population x<-c(1,2,3,4,5)what will be the R command for finding the mean?
• Which is the R command for selecting a sample of size 3 from the population y<- c(11, 150, 121, 192, 233, 129, 117, 186, 129, 189, 159)
• What is the R command for generating bi-variate normal distribution
• What is the R command for selecting a sample of size $n=10$ by probability proportional to size (PPS) with $N=40$?
• Which of these dplyr verbs can be used to retrieve columns of a dataset?
• Who introduced tidyverse to “share an underlying design philosophy, grammar, and data structures, of tidy data?
• A data analyst is working with a data frame called “salary_data”. They want to create a new column named “total_wages” that adds together data in the “standard_wages” and “overtime_wages” columns. What R code lets the analyst create the “total_wages” column?
• A data analyst is working with a data frame named “stores”. It has separate columns for city (“city”) and state (“state”). The analyst wants to combine the two columns into a single column named “location”, with the “city” and “state” separated by a comma. What R code lets the analyst create the location column?
• A data analyst is considering using tibbles instead of basic data frames. What are some of the limitations of tibbles?
• A data analyst is working with a data frame named cars. The analyst notices that all the column names in the data frame are capitalized. What R code lets the analyst change all the column names to lowercase?
• In ggplot2, what function do you use to map variables in your data to visual features of your plot?
• In ggplot2, which of the following concepts refers to the shape, color, and size of data points in a plot?
• Which of the following functions lets you display smaller groups, or subsets, of your data?
• A data analyst creates a scatterplot with a lot of data points. It is difficult for the analyst to distinguish the individual points on the plot because they overlap. What function could the analyst use to make the points easier to find?
• A data analyst creates a plot for visualization. The analyst wants to add a caption to the plot to help communicate important information. What function could the analyst use?

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The post is about MCQ on R Language Quiz with Answers. The quiz covers the topics related to R Package qqplot, R Studio, and Data.Frame. Let us start with the MCQs R Language Quiz.

Please go to Important MCQs R Language Quiz 9 to view the test

MCQs R Language Quiz

• Which of the following aesthetic attributes can you map to the data in a scatterplot?
• What is the role of the x argument in the following code?
  ggplot(data = diamonds) +
  geom_bar(mapping = aes(x = cut))
• Which of the following are the benefits of adding labels and annotations to your plot?
• What function can you use to put a text label inside the grid of your plot to call out specific data points?
• Which of the following are operations you can perform in ggplot2?
• When creating a plot in ggplot you must set the mapping argument of a function. Which function has the mapping argument?
• Which ggplot function is used to define the mappings of variables to visual representations of data?
• Which of the following are the benefits of using ggplot2?
• What argument of the labs() function can a data analyst use to add text outside of the grid area of a plot?
• Which statement about the ggsave() function is correct?
• A data analyst is working with the penguin’s data. The analyst creates a scatterplot with the following code:
  ggplot(data = penguins) +
  geom_point(mapping = aes(x = flipper_length_mm, y = body_mass_g, alpha = species))
• What does the alpha aesthetic do to the appearance of the points in the plot?
• The ___________ creates a scatterplot and then adds a small amount of random noise to each point in the plot to make the points easier to find.
• In R studio, what default options does the Export functionality of the Plots tab give for exporting plots?
• Which of the following are operations you can perform in ggplot2?
• In ggplot2, you use the plus sign (+) to add a layer to your plot.
• Which of the following is NOT a valid data structure in R?
• What is the purpose of the rep() function in R?
• Which package is associated with data visualization in R?
• What does the data.frame function do in R?
• Data frames can be converted to a matrix by calling data.

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